Why machine learning?
Machine learning has shown a great impact on many industries that have been applied such as health care, transportation, finance, logistics, etc. Machine learning is growing rapidly day by day and this offers various job roles as many industries are accommodating machine learning practices.
Importance of machine learning
The techniques used in deep learning or deep neural networks have been around for many years. These techniques weren't this effective in the early days. While in recent years, the practice of tools and techniques of machine learning has dramatically increased.
Machine learning when applied to the right data results in great breakthroughs. The quality of the machine learning outputs has been extremely appreciable. Machine learning will definitely stand as a game changer in every field that is applied.
Getting the tasks done by computers such as image recognition, translation, speech recognition, etc is a major technological upgrade. Machine learning has made human lives easy. The advances in machine learning will do make a big difference in many fields where it has been applied.
What are the top machine learning practising companies in India?
Machine learning has become a necessity for almost every industry. So, there is no such set of machine learning companies that alone practice machine learning. Many top companies such as Genpact, Flipkart, Apple, Amazon, Google, etc are thoroughly applying machine learning practices.
How to become a machine learning engineer?
If you are keenly interested to become a machine learning engineer, let us learn how to start learning machine learning?
Taking up the machine learning course would be the most preferable decision you could make to become a machine learning engineer. To attain a perfect understanding of all the concepts of machine learning, you got to learn machine learning from scratch which is a tough task. But there are few prerequisites that help to learn machine learning an easy task.
Refer the following link to know about the various prerequisites of machine learning.
If you are yearning to start a career in machine learning and haunting the best way to learn machine learning, this page will surely lead you to find the best place to learn machine learning.
The roles and responsibilities of a machine learning engineer
Before learning about the roles and responsibilities of a machine learning engineer, first, let us understand who exactly is a machine learning engineer?
A Machine learning engineer can be defined as highly skilled programmers that develop programs that help the system to analyze and program without being given specific directions.
Roles and Responsibilities of a machine learning engineer
Study and Transform Data Science Prototypes
Data science has become essential across the wide range of industries in recent years. Data science has developed a set of rules to understand human intelligence which is popularly known as artificial intelligence. The practices of artificial intelligence would help to add real value to the business.
A machine learning engineer has to study and transform all the prototypes.
Design an effective machine learning system
Designing a production ready machine learning system is one of the major responsibilities that a machine learning engineer has. Machine learning engineers need to learn the principles of reactive design and they will have to build pipelines that are creative with highly scalable
create a high scale
Research and Implement appropriate Machine learning algorithms
When you keenly observe machine learning algorithms there is no one particular algorithm that fits every problem. There are several factors that affect when you choose an inappropriate machine learning algorithm. Specific problems which are unique desire an indifferent approach to solving them while some other problems are open to the trial and error process.
There are basically three types of machine learning algorithms.
- Reinforcement learning
Develop Machine learning applications according to the requirements
Machine learning results will always be based on the algorithms that a machine learning engineer generates. So, the development of machine learning applications requires a collection of advanced languages, programming tools that are accessible by the developers.
Select appropriate data sets and data representation methods
This is the most typical role played by the machine learning engineer which is also the major responsibility that does involve a lot of risks. using the data that you have collected into operation. It does require the understanding of basic mathematics and statistics besides applying the tools required for analysis such as Python, R, Matlab, etc and the tools required for visualization. It also requires the understanding of databases such as SQL.
Making sure about the data that needs to be considered to generate algorithms. The reporting plays a major role as the data that you choose decides the output.
Test and experiments
The machine learning experiments does consume a lot of time and effort. To perform discrete experiments, you must be efficient in analyzing the reasons for the test failures. Carefully planning and organizing the type of experiments that you decide to run is the most important task.
Perform statistical analysis
Performing statistical analysis is another important role and responsibility of a machine learning engineer. Statistical and machine learning are closely related to each other. Statistical analysis helps to retrieve effective machine learning results.